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Brain Tumor Segmentation with Deep Neural Networks

Brain Tumor Segmentation with Deep Neural Networks

13 May 2015
Mohammad Havaei
Axel Davy
David Warde-Farley
A. Biard
Aaron Courville
Yoshua Bengio
C. Pal
Pierre-Marc Jodoin
Hugo Larochelle
    3DV
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Papers citing "Brain Tumor Segmentation with Deep Neural Networks"

17 / 17 papers shown
Title
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
Huiyu Li
Xiabi Liu
Said Boumaraf
Xiaopeng Gong
Donghai Liao
Xiaohong Ma
3DV
MedIm
109
9
0
17 Jan 2025
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge
D. Labella
Ujjwal Baid
O. Khanna
Shan McBurney-Lin
Ryan McLean
...
A. Abouelatta
Tanvir Rizvi
Klara Willms
Dann C. Martin
Abdullah Okar
77
7
0
16 May 2024
Adaptive feature recombination and recalibration for semantic
  segmentation with Fully Convolutional Networks
Adaptive feature recombination and recalibration for semantic segmentation with Fully Convolutional Networks
Sérgio Pereira
Adriano Pinto
Joana Amorim
Alexandrine Ribeiro
Victor Alves
Carlos Alberto Silva
71
63
0
19 Jun 2020
Integrated Model, Batch and Domain Parallelism in Training Neural
  Networks
Integrated Model, Batch and Domain Parallelism in Training Neural Networks
A. Gholami
A. Azad
Peter H. Jin
Kurt Keutzer
A. Buluç
78
84
0
12 Dec 2017
3D Convolutional Neural Networks for Brain Tumor Segmentation: A
  Comparison of Multi-resolution Architectures
3D Convolutional Neural Networks for Brain Tumor Segmentation: A Comparison of Multi-resolution Architectures
Adrià Casamitjana
Santi Puch
Asier Aduriz
Verónica Vilaplana
3DV
94
45
0
23 May 2017
Perceiving and Reasoning About Liquids Using Fully Convolutional
  Networks
Perceiving and Reasoning About Liquids Using Fully Convolutional Networks
Connor Schenck
Dieter Fox
85
32
0
05 Mar 2017
CNN-based Segmentation of Medical Imaging Data
CNN-based Segmentation of Medical Imaging Data
Baris Kayalibay
Grady Jensen
Patrick van der Smagt
SSeg
170
414
0
11 Jan 2017
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
563
37,806
0
20 May 2016
Simultaneous Detection and Segmentation
Simultaneous Detection and Segmentation
Bharath Hariharan
Pablo Arbeláez
Ross B. Girshick
Jitendra Malik
ObjD
ISeg
133
1,291
0
07 Jul 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
486
15,861
0
12 Nov 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual
  Recognition
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
Jeff Donahue
Yangqing Jia
Oriol Vinyals
Judy Hoffman
Ning Zhang
Eric Tzeng
Trevor Darrell
VLM
ObjD
176
4,948
0
06 Oct 2013
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling
Deep and Wide Multiscale Recursive Networks for Robust Image Labeling
Gary B. Huang
Viren Jain
96
45
0
01 Oct 2013
Pylearn2: a machine learning research library
Pylearn2: a machine learning research library
Ian Goodfellow
David Warde-Farley
Pascal Lamblin
Vincent Dumoulin
M. Berk Mirza
Razvan Pascanu
James Bergstra
Frédéric Bastien
Yoshua Bengio
MU
80
304
0
20 Aug 2013
Maxout Networks
Maxout Networks
Ian Goodfellow
David Warde-Farley
M. Berk Mirza
Aaron Courville
Yoshua Bengio
OOD
220
2,177
0
18 Feb 2013
A Generalized Mean Field Algorithm for Variational Inference in
  Exponential Families
A Generalized Mean Field Algorithm for Variational Inference in Exponential Families
Eric Xing
Michael I. Jordan
Stuart J. Russell
85
253
0
19 Oct 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
224
12,422
0
24 Jun 2012
Practical recommendations for gradient-based training of deep
  architectures
Practical recommendations for gradient-based training of deep architectures
Yoshua Bengio
3DH
ODL
171
2,195
0
24 Jun 2012
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